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1. The potential loss of jobs as AI systems become more capable and automated processes replace human labor.
2. The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
3. The simulation of human intelligence processes by computer systems.
4. A large set of texts used to train a model to understand and generate language.
5. Explainability is the ability to provide understandable explanations or justifications for the decisions and outcomes generated by an AI system.
6. A modeling error that occurs when a model learns the training data too well, failing to generalize to new data.
7. Transparency refers to the ability to clearly understand and interpret the inner workings and decision-making processes of an AI system.
8. A type of machine learning algorithm that uses principles of evolution to generate solutions to complex problems.
9. A type of machine learning algorithm modeled after the structure of the human brain, capable of learning complex patterns and relationships.
10. AI systems often face ethical dilemmas where they have to make decisions that may have moral implications, raising concerns about accountability and responsibility.
11. A field of artificial intelligence that enables computers to interpret and understand the visual world, including images and videos.
12. The process of discovering patterns in large data sets using machine learning and statistical techniques.
13. An architecture that uses self-attention mechanisms to process and generate sequences of data.
14. A type of artificial intelligence that uses a knowledge base and inference rules to solve complex problems in a specialized domain.
15. The internal variables of a model that are adjusted during training to minimize prediction error.
16. The process of using a trained model to generate predictions or outputs based on new input data.
17. Where a text is represented as an unordered collection of words.
18. Machine learning models that can generate new and original content, such as images, texts, or music.